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GRACE/GRACE-FO MEKONG RIVER BASIN TWS DATASET (2003-2024)
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DESCRIPTION
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This dataset presents consistent GRACE/GRACE-FO terrestrial water storage (TWS)
changes in the Mekong River basin solved by Spatio-Temporal Principal Component
(STPC) filters at different significance levels from 2003 to 2024. The TWS data
is provided at different significance levels (5%, 10%, and 30%).

DATA SOURCES
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This ensemble data used Release 06 (RL06) Spherical Harmonic coefficients from:
- CSR (Center for Space Research)
- GFZ (German Research Centre for Geosciences)
- JPL (Jet Propulsion Laboratory)
- ITSG (Institute of Geodesy at Graz University of Technology)

METHODOLOGY
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The processing methodology includes:

1. Common Feature Extraction: Multichannel Singular Spectrum Analysis (MSSA)
   to extract common features across different processing centers

2. Leakage Reduction: Slepian conversion to dampen leakage effects

3. Gap Filling: Iterative MSSA to fill data gaps within and between GRACE and
   GRACE-FO missions

4. Signal Extraction: Spatio-Temporal Principal Component (STPC) filters at
   multiple significance levels (5%, 10%, 30%)

FILE FORMATS
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- Area-weighted basin averages and Gridded fields (MAT format)

CITATION
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If you use this dataset, please cite:

Paper (submitted): "STPC_Lite Software for Robust Regional Signal Extraction
and Noise Quantification in GRACE/GRACE-FO Satellite Gravimetry Applications"

RELATED SOFTWARE
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To replicate this method for other regions, please refer to our code:
https://github.com/KMartin0013/STPC_Lite.git

IMPORTANT NOTES
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1. The noise time series represents GRACE/GRACE-FO measurement errors specific
   to the Mekong River basin

2. Results at different significance levels (5%, 10%, 30%) allow users to
   assess signal robustness and choose appropriate confidence levels

3. Area-weighted averages are provided for convenient basin-scale analysis
   without need for spatial integration

4. Gridded products (MAT) enable spatial analysis of TWS patterns
   and correlation with other spatial datasets

5. The iterative MSSA gap-filling ensures continuous time series without
   artificial discontinuities between GRACE and GRACE-FO missions

ACKNOWLEDGMENTS
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We acknowledge the following data providers:
- CSR (University of Texas at Austin)
- GFZ (German Research Centre for Geosciences)
- JPL (NASA Jet Propulsion Laboratory)
- ITSG (Graz University of Technology)

and the following software providers:
https://geoweb.princeton.edu/people/simons/software.html
https://github.com/strawpants/GRACE-filter